Data Analytics

From Data to Decision Support

BDATech365 helps organisations turn business data into trusted, usable insight by connecting business requirements, data understanding, analytical design and reporting delivery.

The focus is not simply on producing dashboards. Effective Data Analytics requires clear business questions, understood data sources, consistent definitions, appropriate analytical models and outputs that support meaningful decisions.

Business-led analytics

Start with the decisions, questions and outcomes that analytics needs to support. Translate stakeholder requirements into measures, dimensions, analytical requirements and clearly defined reporting outcomes.

Data discovery and understanding

Understand available data sources, structures, relationships, definitions, quality constraints and ownership before designing the analytical solution.

Trusted metrics and semantic models

Create consistent business definitions, measures and governed semantic foundations so that reports, users and increasingly AI-enabled experiences work from common analytical meaning.

Reporting and visual analytics

Design reporting experiences that communicate performance clearly, provide appropriate levels of detail and enable users to move efficiently from headline information to underlying evidence.

Delivery lifecycle

From Business Question to Trusted Insight

1

Business question

Clarify the decisions, measures, audiences and business outcomes the analytics needs to support.

2

Data discovery

Identify relevant sources, definitions, relationships, quality considerations and data ownership.

3

Analytical design

Define metrics, dimensions, semantic structures, security requirements and reporting behaviours.

4

Build and validate

Develop analytical models and reporting experiences, validating both the data and its business interpretation with stakeholders.

5

Govern and improve

Establish definitions, documentation and ownership while using feedback and changing business requirements to evolve the solution.

Microsoft-enabled Data Analytics

Microsoft-enabled Data Analytics

Where appropriate, BDATech365 applies Microsoft capabilities including Power BI, Microsoft Fabric, Excel and the wider Microsoft data platform to support governed analytics from data integration and modelling through to semantic models, reporting and business consumption.